Nahid Saberi

Learn More
Internal switches in all-photonic networks do not perform data conversion into the electronic domain, thereby eliminating a potential capacity bottleneck, but they introduce network scheduling challenges. In this paper we focus on scheduling fixed-length frames in all-photonic star-topology networks. We describe the Fair Matching (FMA) and Equal Share (ESA)(More)
We introduce an intelligent system to optimize a team composition based on the team's historical outcomes and apply this system to compose a surgical team. The system relies on a record of the procedures performed in the past. The optimal team composition is the one with the lowest probability of unfavorable outcome. We use the theory of probability and the(More)
This paper describes a framework for fixed-length frame scheduling in all-photonic networks with large propagation delays. We introduce the Fair Matching Algorithm (FMA), a novel scheduling approach that results in weighted max-min fair allocation of extra demands, achieves zero rejection for admissible demands, and minimizes the maximum percentage(More)
  • 1